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Adaptively sampled distance fields: a general representation of shape for computer graphics
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Source International Conference on Computer Graphics and Interactive Techniques archive
Proceedings of the 27th annual conference on Computer graphics and interactive techniques table of contents
Pages: 249 - 254  
Year of Publication: 2000
ISBN:1-58113-208-5
Authors
Sarah F. Frisken  MERL, Mitsubishi Electric Research Laboratory
Ronald N. Perry  MERL, Mitsubishi Electric Research Laboratory
Alyn P. Rockwood  MERL, Mitsubishi Electric Research Laboratory
Thouis R. Jones  MERL, Mitsubishi Electric Research Laboratory
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM Press/Addison-Wesley Publishing Co.  New York, NY, USA
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Downloads (6 Weeks): 17,   Downloads (12 Months): 202,   Citation Count: 104
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ABSTRACT

Adaptively Sampled Distance Fields (ADFs) are a unifying representation of shape that integrate numerous concepts in computer graphics including the representation of geometry and volume data and a broad range of processing operations such as rendering, sculpting, level-of-detail management, surface offsetting, collision detection, and color gamut correction. Its structure is uncomplicated and direct, but is especially effective for quality reconstruction of complex shapes, e.g., artistic and organic forms, precision parts, volumes, high order functions, and fractals. We characterize one implementation of ADFs, illustrating its utility on two diverse applications: 1) artistic carving of fine detail, and 2) representing and rendering volume data and volumetric effects. Other applications are briefly presented.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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J. Baerentzen, "Octree-based volume sculpting", Proc. Late Breaking Hot Topics, IEEE Visualization'98, pp. 9-12, 1998.
 
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R. Kimmel, N. Kiryati and A. Bruckstein, "Multi-valued distance maps for motion planning on surfaces with moving obstacles", IEEE Trans. on Robotics & Automation, 14, pp. 427- 436, 1998.
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A. Ricci, "A constructive geometry for computer graphics", Computer Journal, Vol. 16, No. 2, pp. 157-160, 1973.
 
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Sensable Devices' FreeForm modeling software, http://www.sensable.com/freeform.
 
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J. Sethian, Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics. Computer Vision, and Material Science. Cambridge University Press, 1996.
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R. Westermann, O. Sommer, T. Ertl, "Decoupling polygon rendering from geometry using rasterization hardware", in Proc. Eurographics Rendering Workshop '99, pp. 45-56, 1999.
 
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K. Zuiderveld, A. Koning, and M. Viergever, "Acceleration of ray-casting using 3D distance transforms", in Proc. Visualization in Biomedical Computing '92, pp. 324-335, 1992.

CITED BY  104

Collaborative Colleagues:
Sarah F. Frisken: colleagues
Ronald N. Perry: colleagues
Alyn P. Rockwood: colleagues
Thouis R. Jones: colleagues